def ei_score() -> EIScore:
"""Build an EIScore."""
return EIScore(name="EI(x)",
description="experimental design score for x",
objectives=[ScalarMaxObjective(descriptor_key="x")],
baselines=[1.0],
constraints=[ScalarRangeConstraint('y', 0.0, 1.0)])
def scalar_range_constraint() -> ScalarRangeConstraint:
"""Build a ScalarRangeConstraint."""
return ScalarRangeConstraint(descriptor_key='z',
min=1.0,
max=10.0,
min_inclusive=False)
import pytest
from citrine.informatics.constraints import ScalarRangeConstraint, CategoricalConstraint
from citrine.informatics.design_spaces import ProductDesignSpace, EnumeratedDesignSpace
from citrine.informatics.objectives import ScalarMaxObjective, ScalarMinObjective
from citrine.informatics.processors import GridProcessor, EnumeratedProcessor
from citrine.informatics.scores import LIScore, EIScore
from citrine.informatics.reports import ModelSummary, FeatureImportanceReport
informatics_string_data = [
(ScalarRangeConstraint('z'), "<ScalarRangeConstraint 'z'>"),
(CategoricalConstraint('x', []), "<CategoricalConstraint 'x'>"),
(ProductDesignSpace('my design space', 'does some things',
[]), "<ProductDesignSpace 'my design space'>"),
(EnumeratedDesignSpace('enumerated', 'desc', [],
[]), "<EnumeratedDesignSpace 'enumerated'>"),
(ScalarMaxObjective('z', 1.0, 10.0), "<ScalarMaxObjective 'z'>"),
(ScalarMinObjective('z', 1.0, 10.0), "<ScalarMinObjective 'z'>"),
(GridProcessor('my thing', 'does a thing',
dict(x=1)), "<GridProcessor 'my thing'>"),
(EnumeratedProcessor('my enumerated thing', 'enumerates',
10), "<EnumeratedProcessor 'my enumerated thing'>"),
(LIScore("LI(z)", "score for z", [], []), "<LIScore 'LI(z)'>"),
(EIScore("EI(x)", "score for x", [], [], []), "<EIScore 'EI(x)'>"),
(FeatureImportanceReport("reflectivity",
{}), "<FeatureImportanceReport 'reflectivity'>"),
(ModelSummary("my model", "ML Model", [], [], {}, [],
"predictor name"), "<ModelSummary 'my model'>"),
]